Uncertainty Signals for Network Intent Translation: Risk Ranking and Ambiguity Localization
Intent-based networking realization starts by translating high-level intents into low-level network configurations. Recent approaches have shifted toward LLM-based translation. Despite promising results, most studies focus on translation accuracy and overlook risks associated with deploying the resulting configurations. In this work, we investigate the pre-deployment translation risk of LLM-generated configurations by analyzing the model's uncertainty. We propose to use two uncertainty signals, namely sampling-based predictive uncertainty for translation-risk ranking and token-level entropy for ambiguity-source localization. We evaluate these signals on an ambiguity-controlled test set ac...
| Authors | Ala' A. Alsamarneh, Omar Alhussein |
|---|---|
| Primary category | cs.NI |
| Published | 3 September 2026 |
| Last updated at source | 3 September 2026 |
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